2023 - Research.com Computer Science in Canada Leader Award
His primary scientific interests are in Software, Software engineering, Software quality, Software maintenance and Empirical research. His Software study combines topics from a wide range of disciplines, such as Data mining and Source code. The Source code study which covers Data science that intersects with Process.
Bram Adams integrates many fields, such as Software engineering and Context, in his works. His work deals with themes such as Software bug and Android, which intersect with Software quality. His Software maintenance research focuses on Dimension and how it connects with Decision tree.
Bram Adams mostly deals with Software, Software engineering, Source code, Empirical research and World Wide Web. His Software research is multidisciplinary, incorporating perspectives in Database, Data science and Code. His studies deal with areas such as Software system, Software maintenance, Software build and Software development as well as Software engineering.
His Source code study integrates concerns from other disciplines, such as Code refactoring, Information retrieval, KPI-driven code analysis and Software evolution. Mobile device is closely connected to Android in his research, which is encompassed under the umbrella topic of World Wide Web. His work carried out in the field of Software quality brings together such families of science as Quality and Software development process.
Bram Adams mainly investigates Software, Empirical research, Artificial intelligence, Software engineering and Data science. His work in the fields of Software, such as Software bug, intersects with other areas such as Productivity. His Artificial intelligence research incorporates themes from Machine learning, Open/closed principle and Process.
His studies in Software engineering integrate themes in fields like Software system, Compiler and Feature. His Data science research includes elements of Release engineering and Software repository. His work in Open source addresses subjects such as Cross-platform, which are connected to disciplines such as World Wide Web.
The scientist’s investigation covers issues in Software, Software system, Source code, Software engineering and Key. His study looks at the relationship between Software and fields such as Data science, as well as how they intersect with chemical problems. His Software system research is multidisciplinary, relying on both Java, Java Native Interface, Constant and Software quality.
The various areas that he examines in his Source code study include Source lines of code, Data mining, Linux kernel and Commit. He has researched Software engineering in several fields, including Compiler, Software development and Feature. His Key research integrates issues from Reliability, Swarm behaviour, Robustness, Artificial intelligence and Theme.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A large-scale empirical study of just-in-time quality assurance
Y. Kamei;E. Shihab;B. Adams;A. E. Hassan.
IEEE Transactions on Software Engineering (2013)
The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects
Shane McIntosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan.
mining software repositories (2014)
An empirical study of the impact of modern code review practices on software quality
Shane Mcintosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan.
Empirical Software Engineering (2016)
Revisiting common bug prediction findings using effort-aware models
Yasutaka Kamei;Shinsuke Matsumoto;Akito Monden;Ken-ichi Matsumoto.
international conference on software maintenance (2010)
Do developers feel emotions? an exploratory analysis of emotions in software artifacts
Alessandro Murgia;Parastou Tourani;Bram Adams;Marco Ortu.
mining software repositories (2014)
Security versus performance bugs: a case study on Firefox
Shahed Zaman;Bram Adams;Ahmed E. Hassan.
mining software repositories (2011)
Do faster releases improve software quality?: an empirical case study of Mozilla Firefox
Foutse Khomh;Tejinder Dhaliwal;Ying Zou;Bram Adams.
mining software repositories (2012)
An Empirical Study on Inconsistent Changes to Code Clones at Release Level
Nicolas Bettenburg;Weyi Shang;Walid Ibrahim;Bram Adams.
working conference on reverse engineering (2009)
An empirical study on inconsistent changes to code clones at the release level
Nicolas Bettenburg;Weiyi Shang;Walid M. Ibrahim;Bram Adams.
Science of Computer Programming (2012)
Understanding reuse in the Android Market
Israel J. Mojica Ruiz;Meiyappan Nagappan;Bram Adams;Ahmed E. Hassan.
international conference on program comprehension (2012)
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